Image Classification allows our Xamarin apps to recognize objects in a photo. This article will walkthrough how to implement using Azure's Custom Vision Service, TensorFlow Lite (an open source machine learning platform) and Xamarin.Android.
Keeping up with the latest in .NET, C#, Xamarin, and Azure is easier than ever. Co-hosts Matt Soucoup and James Montemagno cover a range of topics relevant to Xamarin developers from designing mobile apps to identity management. In this month’s episode James and Matt pull out all the stops and really Focus on Xamarin.
It’s a new decade, and in this inaugural pod of the roaring 20s, James and Matt cover some holidays hacks, and the brand new version of Xamarin.Essentials!
This Winter Solstice, give the Xamarin holiday challenge a spin for a chance to win awesome Xamarin swag by forking or cloning the Santa Talk repo and submitting to GitHub!
A new developer coding challenge has emerged. Do you have what it takes to build and run a simple Xamarin app that uses Azure Functions to run tasks in the cloud? Choose to enter and you'll find yourself in a draw for some really cool prizes. Read the blog for details - your challenge awaits.
Azure's Text Analytics Service makes it easy to add sentiment analysis to our cross-platform apps. Let's see how with this to implement it in a Xamarin app!
Microsoft Cognitive Services provide a great way to get started with AI without being a machine learning or data science expert. A common favorite of cognitive services is the Custom Vision Service. The first version of this service allowed you to easily build an image classifier model that you could access either via a REST API (with an SDK available for Xamarin apps), or by downloading a model that can be run on your device using either CoreML, TensorFlow or WindowsML (we looked at using TensorFlow in an Android app in an earlier blog post).